283212
2
Joaquin Vanschoren
4235
Supervised Classification
predictive_accuracy
1191
weka.LogitBoost_DecisionStump(3)
2043
weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump
P
100
1191
L
-1.7976931348623157E308
1191
H
1.0
1191
Z
3.0
1191
O
1
1191
E
1
1191
S
1
1191
I
40
1191
W
weka.classifiers.trees.DecisionStump
1191
weka
weka_3.7.12
395
re1.wc
https://www.openml.org/data/download/52507/re1.wc.arff
-1
952224
description
https://api.openml.org/data/download/952224/weka_generated_run8900226156049936141.xml
-1
952227
model_readable
https://api.openml.org/data/download/952227/WekaModel_weka.classifiers.meta.LogitBoost6042876689126858364.model
-1
952226
model_serialized
https://api.openml.org/data/download/952226/WekaSerialized_weka.classifiers.meta.LogitBoost7060078948547457022.model
-1
952225
predictions
https://api.openml.org/data/download/952225/weka_generated_predictions8962976651861378970.arff
area_under_roc_curve
0.98254 [0.998064,0.949148,0.999263,0.99936,0.999918,0.999366,0.985981,0.999904,0.954517,0.999359,0.980831,0.960973,0.98155,0.990178,0.99653,0.957717,0.999767,0.948785,0.983115,0.968974,0.992375,0.977439,0.978786,0.887727,0.959386]
average_cost
0
f_measure
0.862694 [0.936877,0.599455,0.934599,0.95988,0.979973,0.866279,0.899123,0.963145,0.607143,0.978604,0.889891,0.831889,0.75032,0.548523,0.796078,0.65662,0.911765,0.510345,0.933333,0.79299,0.962858,0.885246,0.753401,0.167247,0.9]
kappa
0.850099
kb_relative_information_score
14062.91282
mean_absolute_error
0.012228
mean_prior_absolute_error
0.070994
number_of_instances
16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.861434 [0.965753,0.658683,0.946581,0.953187,0.968338,0.856322,0.881959,0.94686,0.69863,0.959161,0.852035,0.898876,0.811634,0.747126,0.845833,0.710956,0.873239,0.672727,0.948387,0.79328,0.9597,0.870968,0.769097,0.247423,0.9]
predictive_accuracy
0.868014
prior_entropy
3.812516
recall
0.868014 [0.909677,0.55,0.922917,0.966667,0.991892,0.876471,0.91697,0.98,0.536842,0.998851,0.931267,0.774194,0.697619,0.433333,0.751852,0.61,0.953846,0.411111,0.91875,0.792701,0.966038,0.9,0.738333,0.126316,0.9]
relative_absolute_error
0.172244
root_mean_prior_squared_error
0.188293
root_mean_squared_error
0.092225
root_relative_squared_error
0.489795
scimark_benchmark
1309.737746 [811.2746802934033, 971.492313735342, 521.7404774616803, 1083.6875143231027, 3160.493745180262]
total_cost
0
usercpu_time_millis
3141330
usercpu_time_millis_testing
10
usercpu_time_millis_training
3141320
area_under_roc_curve
0.978296 [0.975309,0.993902,1,1,1,1,0.99157,1,0.742378,1,0.963754,0.99591,0.924383,1,0.993902,1,1,0.978659,1,0.944193,1,1,0.998958,0.871951,1]
area_under_roc_curve
0.983244 [1,1,1,1,1,0.993939,0.986557,1,0.993902,0.9954,0.990132,0.99591,0.991304,0.996951,1,0.950311,1,0.759146,1,0.995978,1,0.748476,0.992708,0.993902,0.5]
area_under_roc_curve
0.982818 [1,0.996951,1,1,1,1,0.985874,1,0.987805,1,0.972973,0.732106,0.973765,0.993939,0.993902,0.97764,1,0.984756,1,0.989192,1,1,0.99375,0.95122,1]
area_under_roc_curve
0.978877 [1,1,0.995652,0.999359,1,0.996951,0.989747,1,0.675305,1,0.981353,1,1,0.975758,0.993865,0.992547,1,0.990854,1,0.965226,1,0.748476,0.985417,0.690549,1]
area_under_roc_curve
0.980812 [1,1,1,1,1,1,0.972659,1,0.884146,0.995754,0.97903,0.750511,1,1,1,0.963975,1,1,1,0.985923,1,1,0.99375,0.966463,1]
area_under_roc_curve
0.983096 [0.996914,0.97561,1,0.999359,1,1,0.991114,1,0.92378,0.998022,0.98701,0.751534,0.99537,0.984756,1,0.959006,1,1,1,0.970865,0.994721,1,0.995833,0.693939,1]
area_under_roc_curve
0.985585 [1,1,1,1,1,1,0.990658,1,1,1,0.987848,0.993865,0.983025,1,0.985685,0.998758,1,0.59697,0.998457,0.938675,1,1,1,0.884146,1]
area_under_roc_curve
0.980296 [1,1,1,1,1,1,0.971975,1,1,0.996835,0.976151,0.745399,0.995031,0.972561,0.98364,1,1,1,1,0.971845,1,1,0.976042,0.993902,1]
area_under_roc_curve
0.981023 [1,0.969512,1,1,1,1,0.987013,1,0.993902,1,0.970189,0.981595,0.99537,0.987805,0.996951,0.940373,1,0.987805,1,0.922574,0.996481,1,0.99375,0.996951,1]
area_under_roc_curve
0.994917 [0.998457,0.984756,1,1,1,1,0.998633,1,1,1,0.994134,1,0.970679,0.975758,1,0.992547,1,0.987879,1,0.984492,1,1,0.98125,0.987805,1]
area_under_roc_curve
0.991544 [1,0.978659,1,1,1,1,0.994076,1,1,1,0.993819,0.961145,0.990741,0.987805,1,0.932919,1,1,1,0.984414,1,1,0.969792,0.980183,1]
area_under_roc_curve
0.978991 [1,1,1,1,1,1,0.990886,1,0.8,0.996461,0.966269,0.80787,1,1,0.996951,0.967702,1,0.996951,1,0.966817,1,0.996951,0.972917,0.917683,1]
area_under_roc_curve
0.977188 [1,0.987805,1,1,1,1,0.987241,1,0.957576,0.995754,0.977373,0.985685,0.916667,1,1,0.963975,1,0.987805,0.99591,0.951598,0.998827,1,0.98125,0.73628,0.5]
area_under_roc_curve
0.98067 [1,0.993902,1,1,1,1,0.989519,1,1,1,0.97863,0.99591,0.986111,1,1,0.935404,1,0.867378,0.822086,0.967105,1,1,0.95,0.945122,1]
area_under_roc_curve
0.98202 [1,0.910061,1,1,1,1,0.97357,1,1,0.997231,0.983763,1,0.990062,0.996951,0.977505,0.880124,1,0.987805,1,0.980733,1,1,0.988542,0.781818,0.993939]
area_under_roc_curve
0.981778 [1,1,1,1,1,1,0.985646,1,1,1,0.975068,0.95501,1,0.993939,0.997955,0.875776,1,0.993902,1,0.975564,1,1,1,0.746951,1]
area_under_roc_curve
0.974269 [1,0.963415,0.998758,1,1,1,0.98519,1,0.993902,1,0.967735,0.99591,0.993827,1,0.99182,0.941615,1,1,1,0.974862,0.93871,0.748476,0.899479,0.981707,1]
area_under_roc_curve
0.988966 [1,0.990854,0.998457,1,1,1,0.995443,1,0.786585,1,0.98282,1,1,0.996951,1,0.980124,1,1,1,0.992961,0.999413,1,0.995833,0.817073,1]
area_under_roc_curve
0.987485 [1,1,1,1,1,1,0.996013,1,1,1,0.979468,0.98773,0.996914,0.993902,0.996951,0.893789,1,0.993902,1,0.996229,0.999413,1,0.988542,0.77439,1]
area_under_roc_curve
0.983513 [1,1,1,1,1,1,0.994532,1,0.881098,1,0.971506,0.993865,1,1,1,1,1,1,1,0.947368,1,1,1,0.745427,1]
area_under_roc_curve
0.975849 [1,0.987805,0.997516,1,1,1,0.980406,1,0.993902,1,0.98062,0.993865,0.992284,0.978659,1,0.792547,1,0.856707,0.826176,0.986425,0.995894,1,0.927083,1,1]
area_under_roc_curve
0.985001 [1,0.911585,1,1,1,1,0.995215,1,0.990854,1,0.990991,1,1,0.993939,1,0.941615,1,0.996951,1,0.984962,0.997067,1,0.871875,0.512121,1]
area_under_roc_curve
0.979482 [1,0.996951,1,1,1,1,0.979494,1,1,1,0.985334,1,0.993827,0.990854,1,0.975155,1,0.797256,1,0.990602,0.932258,1,0.920833,0.871951,1]
area_under_roc_curve
0.973381 [1,0.653963,1,1,1,1,0.986329,1,0.993902,0.998585,0.956212,0.719836,0.984568,0.951515,1,0.940373,1,0.978659,1,0.979323,0.999413,1,0.997917,0.984756,1]
area_under_roc_curve
0.978824 [1,0.996951,0.994599,0.997436,1,1,0.985874,1,0.881098,1,0.985125,1,0.95679,0.993902,0.993865,0.991304,1,0.993902,1,0.927162,1,0.75,0.945833,0.948171,1]
area_under_roc_curve
0.980282 [1,0.876524,0.998758,1,1,1,0.989291,1,0.993902,1,0.98282,0.94683,0.891304,0.927273,0.989775,0.995031,1,0.810976,0.831288,0.983553,1,1,1,0.963415,1]
area_under_roc_curve
0.978398 [0.99591,0.972561,1,1,1,1,0.968558,1,0.780488,1,0.983449,0.896605,1,1,1,0.957764,1,0.996951,1,0.974359,0.997067,1,0.996875,0.792683,1]
area_under_roc_curve
0.980956 [1,0.981707,1,1,1,1,0.983368,1,1,1,0.966269,0.997955,1,0.990854,0.997955,0.940373,1,1,1,0.954751,0.997654,1,0.972917,0.88872,1]
area_under_roc_curve
0.977243 [1,0.993902,1,0.996474,1,1,0.966735,1,0.95122,1,0.983449,0.998457,0.945342,0.993902,1,0.95528,1,0.996951,1,0.926222,0.997067,1,0.995833,0.844512,1]
area_under_roc_curve
0.983673 [1,0.990854,0.995031,0.998718,1,1,0.989519,1,0.990854,0.997877,0.988896,0.742331,0.997516,1,1,0.997516,1,1,1,0.980733,1,0.75,0.979688,0.914634,1]
area_under_roc_curve
0.987119 [1,1,1,1,1,1,0.990203,1,0.890244,1,0.976744,0.997955,1,1,0.997955,0.914286,1,0.990854,1,0.99859,1,1,1,0.871951,1]
area_under_roc_curve
0.982171 [1,0.990854,1,1,1,1,0.987469,1,1,1,0.976325,0.997955,0.91821,1,0.997955,0.986335,1,0.847561,0.998457,0.970395,1,1,0.997917,0.746951,1]
area_under_roc_curve
0.980826 [1,1,1,1,1,1,0.982798,1,0.86128,1,0.976535,1,1,0.981707,0.99182,0.90559,1,1,1,0.968985,1,1,0.985417,0.792683,1]
area_under_roc_curve
0.982412 [1,0.978659,1,0.995833,1,1,0.986102,1,0.993902,1,0.983239,1,0.996914,0.993939,1,0.954037,1,1,1,0.916823,0.997067,1,0.995833,0.862805,1]
area_under_roc_curve
0.983081 [1,0.996951,0.999228,1,1,0.993902,0.991342,1,0.987805,1,0.951393,1,1,0.993902,1,0.992547,1,0.996951,0.997955,0.986372,0.994721,1,0.984375,0.862805,1]
area_under_roc_curve
0.986647 [1,1,1,1,1,1,0.991114,1,0.963415,1,0.975906,1,1,1,1,0.985093,1,0.993902,1,0.984023,1,0.993902,0.944792,0.847561,1]
area_under_roc_curve
0.980016 [1,0.618902,0.997516,0.998718,1,1,0.987013,1,1,1,0.981982,1,0.993789,0.987879,1,0.922981,1,1,1,0.945199,1,1,0.991667,0.878049,1]
area_under_roc_curve
0.988945 [1,0.990854,1,1,1,1,0.987013,1,0.996951,1,0.984915,1,0.975309,0.984756,1,0.944099,1,0.996951,1,0.984962,1,1,0.973958,0.957576,1]
area_under_roc_curve
0.982174 [1,1,0.999379,1,1,1,0.992709,1,1,1,0.978001,0.746421,1,1,0.98773,0.926708,1,1,1,0.989662,1,0.5,0.991667,0.978659,1]
area_under_roc_curve
0.976412 [1,0.993902,1,1,1,1,0.97619,1,0.984756,1,0.970983,0.997955,0.87764,1,0.993902,0.938509,1,1,1,0.964991,1,1,0.996875,0.716463,1]
area_under_roc_curve
0.972688 [1,0.628049,1,0.997115,1,1,0.985646,1,1,0.996461,0.96983,1,0.987654,0.981707,1,0.980124,1,0.996951,1,0.927162,1,0.996951,0.991667,0.814024,0.5]
area_under_roc_curve
0.978956 [0.997955,0.990854,1,1,1,1,0.985418,1,0.914634,1,0.963545,0.977505,0.992284,1,0.993865,0.950311,1,0.97561,1,0.961936,1,1,0.979688,0.800305,1]
area_under_roc_curve
0.976166 [0.997955,0.615854,0.996273,1,1,1,0.982228,1,0.97561,1,0.975487,0.993865,0.984568,1,1,0.970186,1,1,1,0.941176,0.995894,0.748476,0.998958,0.927273,1]
area_under_roc_curve
0.974391 [1,0.984756,1,1,0.997955,1,0.967646,1,0.993902,1,0.971716,0.993865,0.993827,1,0.98773,0.962733,1,0.993902,1,0.932096,0.928152,1,0.988542,1,1]
area_under_roc_curve
0.982775 [1,0.978659,1,1,1,1,0.975621,1,1,1,0.982191,1,0.996914,1,1,0.97764,1,0.987879,0.87037,0.956297,1,1,0.991667,0.981707,1]
area_under_roc_curve
0.986007 [0.99591,0.990854,1,1,1,1,0.979722,1,0.97561,1,0.983141,0.981595,0.986111,1,1,0.995031,1,0.990854,1,0.961466,1,1,0.983333,0.929878,1]
area_under_roc_curve
0.989701 [1,1,1,1,1,1,0.981773,1,0.848485,1,0.992393,0.997955,0.983851,0.945455,1,0.990062,1,0.996951,0.99182,0.993891,1,1,0.985417,0.727273,1]
area_under_roc_curve
0.984362 [1,0.95122,0.998758,0.998077,1,1,0.990203,1,0.85061,1,0.979677,0.97546,0.996914,1,1,0.950311,1,0.996951,1,0.968045,1,1,1,0.844512,1]
area_under_roc_curve
0.987553 [1,0.996951,0.998758,1,1,1,0.989747,1,0.996951,1,0.986172,1,0.99537,0.939394,1,0.975155,1,0.993939,0.99591,0.996241,0.929912,0.993902,0.994792,0.890909,1]
area_under_roc_curve
0.985818 [1,1,1,1,1,0.996951,0.996582,1,1,1,0.979258,0.880368,1,0.978659,1,0.992547,1,0.797256,1,0.984492,0.992308,1,0.997917,0.841463,1]
area_under_roc_curve
0.981105 [1,0.996951,1,1,1,1,0.977785,1,1,1,0.986801,1,0.989198,1,1,0.970186,1,0.814024,1,0.980028,0.923718,1,0.995833,0.86128,1]
area_under_roc_curve
0.990232 [1,1,0.997516,0.997436,1,1,0.990317,1,1,1,0.98722,1,0.998457,1,0.997955,0.987578,1,0.996951,1,0.980028,1,1,0.930208,0.993902,1]
area_under_roc_curve
0.991008 [0.997955,0.993902,1,1,1,1,0.99681,1,1,1,0.980725,0.99591,0.978395,0.981707,1,0.991304,1,1,1,0.98542,0.99824,1,1,0.865854,1]
area_under_roc_curve
0.986312 [1,0.996951,1,1,1,1,0.992253,1,0.996951,0.996461,0.985544,1,0.998457,1,1,0.991304,1,0.815549,1,0.975564,1,1,0.998958,0.914634,0.5]
area_under_roc_curve
0.99093 [1,1,1,1,1,1,0.997494,1,0.948171,1,0.994134,1,0.998457,0.996951,1,0.88323,1,1,1,0.993421,0.998718,1,0.966667,0.89939,1]
area_under_roc_curve
0.98282 [1,0.63872,1,1,1,1,0.986102,1,0.990854,1,0.983868,1,0.993827,1,1,0.922981,1,0.990854,1,0.998994,1,1,0.906771,0.972561,1]
area_under_roc_curve
0.981407 [1,1,1,1,1,1,0.998177,1,0.903963,0.996108,0.977163,0.749489,0.975309,1,1,0.828571,1,1,1,0.994361,1,1,0.978125,0.981707,1]
area_under_roc_curve
0.974902 [1,0.942073,0.995031,0.996154,1,1,0.977444,1,0.987805,1,0.979468,1,0.907407,1,1,0.914286,1,0.990854,1,0.931861,0.999359,0.748476,0.991667,0.935976,1]
area_under_roc_curve
0.981794 [0.99591,1,1,1,1,1,0.977216,1,0.993902,1,0.984496,0.877301,0.975309,0.981818,1,0.993789,1,0.78811,1,0.952538,1,1,0.994792,0.981707,1]
area_under_roc_curve
0.986703 [1,0.960366,1,1,1,1,0.970267,1,0.993902,1,0.994655,1,0.998457,0.984756,0.993902,0.899379,1,0.990854,1,0.992961,1,1,0.989583,0.896341,1]
area_under_roc_curve
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166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1]
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166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1]
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166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1]
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166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1]
number_of_instances
166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1]
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166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1]
number_of_instances
166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1]
number_of_instances
165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1]
number_of_instances
165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1]
number_of_instances
165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1]
number_of_instances
165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1]
number_of_instances
165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1]
number_of_instances
165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1]
number_of_instances
165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1]
number_of_instances
165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1]
precision
0.859745 [1,0.666667,1,1,1,0.666667,0.837838,0.666667,0,1,0.85,1,1,1,0.5,1,0.666667,0.5,1,0.714286,1,1,1,0,1]
precision
0.851114 [1,1,0.8,1,1,0,0.815789,0.666667,0.5,0.9,0.837209,1,1,0,1,1,1,0.5,1,0.916667,1,0.5,1,0,0]
precision
0.845042 [1,1,1,1,0.8,1,0.794872,1,0.5,1,0.833333,1,0.666667,0,1,1,1,0,1,0.846154,1,1,0.666667,0,0.5]
precision
0.873337 [1,1,0.8,0.909091,1,1,0.885714,0.666667,0,1,0.878049,1,1,0,0.666667,0.8,1,0.5,1,0.916667,1,1,0.833333,0,1]
precision
0.877334 [1,0.5,1,1,1,0.5,0.875,1,0.5,0.9,0.897436,1,1,1,1,0.75,1,1,1,0.705882,1,0.666667,0.8,0,1]
precision
0.835179 [1,0.5,1,0.909091,1,1,0.878788,1,1,0.888889,0.804878,0.666667,0.75,0,1,0.571429,1,1,1,0.642857,1,1,0.8,0,1]
precision
0.902358 [1,1,1,1,1,1,0.885714,1,1,1,0.9,0.75,0.75,0.666667,1,1,0.5,0,1,0.846154,1,0.666667,1,0,1]
precision
0.812094 [1,1,1,1,0.75,1,0.789474,1,1,0.888889,0.795455,1,1,0,0.5,1,0,0,1,0.666667,1,1,0.5,0.5,1]
precision
0.831981 [1,0,1,1,1,1,0.861111,1,1,1,0.813953,0.666667,0.75,0,0.666667,1,1,0,1,0.571429,0.909091,1,0.833333,1,1]
precision
0.898881 [1,0.5,1,1,1,1,0.916667,1,1,1,0.857143,1,0.5,0,1,0.8,1,0,0.75,1,1,1,1,0,1]
precision
0.875229 [0.75,0,1,1,1,1,0.939394,1,0.5,1,0.9,0.5,0.5,1,0.666667,0.666667,1,1,1,0.846154,1,1,0.428571,1,0.5]
precision
0.862862 [1,1,1,1,1,0.5,0.914286,1,0,0.818182,0.85,1,1,1,0.5,0.8,0.666667,1,1,0.733333,0.916667,0.5,0.8,0,1]
precision
0.840456 [1,0.333333,1,1,1,1,0.861111,1,0,0.9,0.888889,0.666667,1,0,1,0.666667,1,1,0.75,0.733333,0.846154,1,0.714286,0,0]
precision
0.850756 [1,0.5,1,1,1,1,0.909091,1,0.666667,1,0.833333,0.666667,0.5,1,1,0.8,1,0,1,0.647059,1,1,0.833333,0,1]
precision
0.836746 [1,0,1,0.909091,1,1,0.882353,1,0.5,0.888889,0.897436,1,0.75,0.5,1,0.5,1,0,1,0.6875,1,1,0.666667,0,0]
precision
0.854778 [1,1,1,0.833333,1,1,0.911765,0.666667,1,1,0.790698,1,1,0,0.666667,1,0,0,1,0.705882,1,1,1,0,1]
precision
0.831323 [1,1,0.833333,1,1,1,0.875,1,1,1,0.842105,0.5,0.8,1,0.5,0.666667,1,1,1,0.666667,0.818182,0.5,0.6,0,1]
precision
0.8653 [1,0,1,1,1,0.666667,0.9375,1,0,1,0.85,1,0.714286,1,0.75,0.8,1,1,1,0.785714,0.916667,1,0.8,0,1]
precision
0.8822 [1,1,1,1,1,0.5,0.9375,1,1,0.818182,0.868421,1,0.8,0,1,0.75,1,1,1,0.8125,0.909091,1,0.833333,0,1]
precision
0.909317 [0.75,1,1,1,0.8,1,0.941176,1,1,1,0.878049,0.666667,0.8,1,1,1,1,1,1,0.833333,0.916667,1,1,0,1]
precision
0.854705 [1,0.5,0.833333,1,1,1,0.861111,1,0.5,1,0.809524,1,0.75,0,1,0.666667,1,0.333333,1,0.916667,1,1,0.571429,1,1]
precision
0.899957 [1,1,0.833333,1,1,1,0.964286,1,1,1,0.857143,1,1,0.5,0.666667,0.571429,1,1,1,0.75,1,1,0.75,0,1]
precision
0.877563 [1,1,1,0.9,1,1,0.864865,1,1,1,0.853659,1,0.75,0,1,0.444444,0.5,1,1,0.909091,1,1,1,0,1]
precision
0.834341 [1,1,0.833333,1,1,0,0.933333,1,0.666667,0.9,0.820513,0.25,0.75,0,1,1,1,0,1,0.764706,0.785714,1,0.857143,0,0.5]
precision
0.817931 [1,1,0.8,0.909091,1,1,0.9,1,0,1,0.809524,1,0,0.5,0.75,0.5,0.5,0.666667,0.75,0.785714,1,1,0.833333,0,1]
precision
0.866354 [1,0.333333,1,1,1,0.666667,0.888889,1,1,0.9,0.833333,1,1,0,1,0.625,1,0,0.666667,0.923077,1,1,1,0,0.5]
precision
0.844681 [0.75,0,1,1,1,1,0.870968,1,0.333333,1,0.818182,1,1,1,1,0.6,0.5,0.5,1,0.714286,0.909091,1,1,0,0.5]
precision
0.846404 [1,0.5,1,1,1,1,0.882353,1,1,0.888889,0.891892,0.6,1,0,1,0.2,1,1,0.75,0.916667,0.846154,1,0.5,0,1]
precision
0.850205 [1,0.4,1,0.769231,1,0.5,0.878788,0.666667,0,0.9,0.875,1,1,0.5,1,1,1,0.666667,1,0.785714,1,0.5,0.75,0,1]
precision
0.900503 [1,1,0.8,0.909091,1,1,0.882353,1,0.5,0.9,0.9,1,1,1,1,1,0.5,1,1,0.8125,1,1,1,0,1]
precision
0.885674 [1,0.666667,1,0.818182,1,1,0.837838,1,1,1,0.853659,1,1,1,1,1,1,0,1,0.928571,0.909091,1,1,0,1]
precision
0.832958 [1,0.5,1,1,1,0.666667,0.842105,1,1,1,0.846154,1,1,0,1,0.571429,0.666667,0,0.75,0.733333,0.916667,0.5,0.8,0,1]
precision
0.840405 [1,1,1,0.909091,1,0.666667,0.842105,0.666667,0,1,0.772727,1,1,0.5,1,1,1,1,1,0.769231,1,1,0.6,0,1]
precision
0.871588 [1,0,1,0.909091,1,1,0.857143,1,1,1,0.878049,1,0.75,0.5,1,0.75,1,1,1,0.769231,1,1,0.8,0,1]
precision
0.827252 [1,0.666667,1,0.909091,0.8,1,0.882353,1,0.5,1,0.74359,1,0.8,0.5,1,0.6,0.5,0,0.75,0.916667,1,1,0.714286,0,1]
precision
0.867282 [1,1,0.714286,1,1,1,0.9375,1,1,1,0.875,1,1,0,0.666667,0.75,0.666667,1,1,0.6875,0.909091,0.333333,0.714286,0,1]
precision
0.844173 [1,1,1,0.9,1,1,0.882353,1,0.666667,1,0.795455,1,0.833333,0,1,1,1,0,1,0.583333,1,1,0.75,0,1]
precision
0.90954 [1,0.333333,0.833333,1,1,1,0.914286,1,0.666667,1,0.897436,1,1,1,1,0.571429,0.666667,0.5,0.75,1,1,1,1,0,1]
precision
0.886725 [1,0.666667,0.833333,1,1,0.5,0.868421,1,1,0.9,0.897436,1,1,1,1,0.666667,0.5,1,1,0.9,1,0,0.8,0,1]
precision
0.888842 [1,0.5,1,1,1,1,0.794872,1,1,1,0.871795,1,0.8,1,1,1,1,1,1,0.909091,1,0.666667,0.833333,0,1]
precision
0.826081 [1,1,1,0.833333,0.8,1,0.864865,1,1,0.9,0.755556,1,0.666667,0,1,0.75,1,0.5,1,0.875,1,0.666667,0.833333,0,0]
precision
0.824992 [0.666667,0.333333,1,0.909091,0.8,1,0.861111,0.666667,0,1,0.846154,1,1,0,0.75,0.4,1,1,1,0.857143,0.916667,1,0.6,0,1]
precision
0.827784 [1,0,0.833333,1,1,0.666667,0.852941,1,0,1,0.842105,0.75,0.666667,1,1,0.666667,1,0.5,1,0.642857,0.909091,1,0.833333,0,1]
precision
0.854005 [1,1,1,1,0.75,1,0.823529,1,0,1,0.85,0.666667,0.75,1,0.5,1,1,0.666667,1,0.769231,1,1,0.714286,0,1]
precision
0.872713 [1,0,1,1,1,1,1,0.666667,1,0.9,0.833333,1,0.75,0,1,0.666667,1,0.333333,1,0.846154,0.909091,1,0.833333,0,1]
precision
0.829883 [0.75,0.5,1,0.9,1,1,0.789474,1,0,0.9,0.826087,1,0.666667,1,1,0.8,1,0,0.8,0.857143,1,1,1,0,1]
precision
0.889752 [1,1,1,1,1,1,0.885714,1,0,1,0.883721,1,1,0,1,0.6,1,0.5,1,0.777778,1,1,0.833333,0,1]
precision
0.901494 [1,1,1,0.909091,1,1,0.9375,1,1,1,0.837209,1,0.75,1,1,1,1,1,1,0.75,1,1,0.857143,0,1]
precision
0.859699 [1,0,0.8,1,1,1,0.909091,1,1,1,0.837209,1,0.6,0,0.75,0.75,1,0.5,0.5,0.916667,1,0.5,0.75,0,1]
precision
0.868166 [1,1,0.833333,1,1,0.5,0.96875,1,1,1,0.829268,1,1,0,1,0.666667,1,0.5,0.8,0.8125,0.888889,1,0.833333,0,0.5]
precision
0.891919 [1,1,1,1,1,1,0.903226,1,0.666667,1,0.853659,1,1,1,1,1,1,1,1,0.666667,0.9,1,0.833333,0,1]
precision
0.877051 [1,1,1,0.909091,1,1,0.875,1,0.666667,1,0.853659,1,1,0,0.666667,0.6,1,1,1,0.764706,1,1,1,0,1]
precision
0.920731 [0.75,1,1,1,1,0.666667,0.941176,1,1,1,0.857143,1,1,0.333333,1,1,1,1,1,0.909091,1,1,1,0,1]
precision
0.866627 [1,0.5,1,1,1,0.666667,0.9375,1,0.5,0.9,0.85,1,1,0.666667,0.5,1,1,0,1,0.764706,1,0,1,0,0]
precision
0.884721 [1,0.666667,1,0.909091,1,1,0.969697,1,1,1,0.818182,1,1,0,1,0.5,1,1,1,0.833333,1,1,0.666667,0.5,1]
precision
0.863 [1,1,1,0.909091,0.8,1,0.878788,1,0.333333,1,0.894737,1,0.75,1,1,0.5,1,0,1,0.866667,1,1,0.571429,0,1]
precision
0.848136 [1,1,1,0.9,1,0.5,1,1,1,0.818182,0.885714,0.5,0.666667,0.5,0.75,0,1,0,0.75,0.777778,1,1,0.5,1,1]
precision
0.853368 [1,0.5,0.833333,0.909091,1,1,0.935484,1,1,1,0.804878,1,0.666667,1,1,0.666667,0,0.5,1,0.785714,1,0.5,0.625,0.5,1]
precision
0.818103 [0.75,1,1,0.909091,1,1,0.875,1,0.5,1,0.790698,1,0.5,0,1,0.666667,1,0,1,0.642857,1,1,0.666667,0,1]
precision
0.855224 [1,0.5,1,1,1,1,0.857143,1,0.5,0.9,0.883721,1,0.75,0,0.5,1,1,0,1,0.916667,1,0.666667,0.625,0,1]
precision
0.844197 [1,0.666667,0.8,1,1,0.5,0.805556,1,1,0.818182,0.871795,1,1,1,1,0.4,1,1,1,0.785714,1,1,0.6,0,1]
precision
0.837416 [1,0,0.8,0.9,1,0.666667,0.8,1,0,1,0.944444,1,0.5,1,1,1,1,1,1,0.666667,1,1,0.5,0,1]
precision
0.914669 [1,1,1,1,1,1,0.888889,1,1,0.818182,1,1,1,0,1,0.8,0.5,0,1,0.866667,1,1,0.8,0.285714,1]
precision
0.893502 [1,0.5,1,0.909091,1,1,0.970588,1,1,1,0.705882,1,1,1,1,0.8,1,1,1,1,0.916667,1,1,0,1]
precision
0.820702 [0.75,0,1,1,1,1,0.84375,1,0,1,0.833333,1,0.75,0,0.666667,0.8,1,0,1,0.75,0.833333,1,0.857143,0,1]
precision
0.836617 [1,1,1,1,1,1,0.84375,1,1,1,0.818182,0.666667,1,1,0.75,0,1,0.5,1,0.769231,0.916667,1,0.571429,0.5,1]
precision
0.85038 [1,0.5,0.833333,1,1,0,0.8,1,0,0.9,0.853659,1,0.75,1,1,0.8,1,1,1,0.888889,1,1,0.8,0.333333,0]
precision
0.839446 [1,1,1,1,1,1,0.8,1,0.25,0.9,0.9,1,0.75,1,1,0.571429,1,0,1,0.65,0.909091,1,0.666667,1,0]
precision
0.875639 [1,0,0.833333,1,1,1,0.888889,1,0.5,1,0.818182,1,0.75,1,1,0.75,1,1,1,0.916667,1,1,0.833333,0,1]
precision
0.822504 [1,0,1,0.833333,1,1,0.857143,1,1,1,0.891892,0.75,0.5,1,1,0.4,1,0,1,0.666667,1,1,0.5,0,1]
precision
0.90216 [1,1,1,1,1,1,0.941176,1,1,1,0.857143,0.75,1,0,1,0.75,0,1,1,0.928571,0.916667,1,0.857143,0,1]
precision
0.858473 [1,0.333333,1,1,1,1,0.825,1,1,1,0.871795,1,0.5,0,1,0.5,1,0,1,1,1,1,0.75,0,0.5]
precision
0.876568 [1,0.333333,0.833333,1,1,1,0.935484,1,0.5,1,0.897436,1,1,1,0.6,1,1,0,1,0.785714,0.909091,0.666667,0.75,0,1]
precision
0.836482 [1,0.25,1,0.909091,1,1,0.810811,1,1,1,0.897436,1,0.5,0,1,0.5,1,0,0.6,1,0.9,0.666667,0.555556,0.5,1]
precision
0.82406 [1,0.5,0.833333,1,1,1,0.842105,1,1,0.9,0.804878,1,1,0,0.5,0.8,1,0,1,0.666667,0.9,1,0.8,0,1]
precision
0.872179 [1,1,0.8,1,0.8,1,0.942857,1,1,1,0.828571,1,0.666667,1,1,0.714286,0.5,0.5,1,0.846154,0.909091,1,0.666667,0,1]
precision
0.882534 [1,0.5,1,0.833333,1,0.666667,0.909091,0.666667,0,1,0.894737,1,1,1,0.666667,0.666667,1,1,1,0.846154,1,1,1,0,1]
precision
0.836315 [1,0.333333,0.833333,1,1,0,0.837838,0.666667,1,1,0.853659,0.75,0.666667,0,0.5,1,0.5,0.5,1,0.777778,1,1,0.714286,0,1]
precision
0.868438 [1,1,1,1,1,1,0.8,1,0,1,0.897436,1,1,1,0.75,0.5,1,1,1,0.846154,0.909091,1,0.5,1,1]
precision
0.864741 [1,1,1,1,1,1,0.820513,0.666667,0,1,0.894737,1,0.666667,1,0.5,0.75,1,0,1,0.916667,1,1,0.666667,0.333333,1]
precision
0.87583 [1,0.5,1,1,1,1,0.914286,1,1,1,0.85,1,0.75,0,0.75,0.571429,0.5,1,1,0.8,1,0.666667,1,0,1]
precision
0.903882 [1,0,1,1,1,1,0.939394,1,0.5,1,0.857143,0.75,0.8,1,1,0.8,1,1,1,0.916667,1,1,0.857143,0.5,1]
precision
0.84486 [1,0.5,1,0.833333,1,1,0.823529,1,1,0.9,0.871795,1,0.8,1,0.75,1,1,0,0.666667,0.714286,1,1,0.714286,0.5,1]
precision
0.857484 [1,1,0.8,0.875,1,1,0.90625,1,0.5,1,0.809524,1,1,0,1,0.5,0.666667,1,0.8,0.857143,1,1,0.833333,0,1]
precision
0.843923 [1,1,1,0.909091,1,1,0.846154,1,0,1,0.8,0.666667,0.8,0,1,0.666667,1,1,1,1,1,0.666667,0.6,0,0.5]
precision
0.886208 [1,0,1,1,1,0,0.861111,1,0.5,0.888889,0.878049,1,0.571429,1,1,1,1,1,1,0.923077,1,1,1,0.5,0]
precision
0.878651 [1,0.333333,1,1,1,1,0.911765,1,0.5,1,0.868421,1,0.666667,0,1,0.666667,1,1,1,0.928571,0.909091,1,0.833333,0,1]
precision
0.865339 [1,0.666667,1,0.9,1,0.666667,0.888889,1,1,1,0.857143,1,1,0,1,0.666667,1,1,1,0.75,0.9,0.666667,0.833333,0,1]
precision
0.862576 [1,0,1,1,1,0.4,0.861111,1,1,1,0.875,0.666667,0.75,1,0.5,1,1,1,1,0.9,0.833333,1,0.8,0,0.5]
precision
0.866521 [1,1,1,0.9,1,1,0.909091,1,0,0.888889,0.853659,0.666667,1,1,0.75,0.5,1,1,1,0.823529,1,1,0.833333,0.5,0]
precision
0.87406 [1,1,1,1,1,1,0.878788,1,0,0.888889,0.9,1,1,0.5,0.75,1,1,0,1,0.647059,1,1,1,0,1]
precision
0.888609 [1,0.5,1,0.909091,1,1,0.939394,1,1,1,0.894737,0.666667,0.75,0.666667,1,0.8,1,0.5,1,0.769231,0.909091,1,1,0,1]
precision
0.879654 [1,1,1,0.909091,1,1,0.882353,1,1,1,0.837209,1,0.8,1,1,0.5,1,0.5,1,0.916667,0.909091,0.666667,1,0,1]
precision
0.886263 [0.75,1,1,1,1,0.5,0.861111,1,1,1,0.921053,1,1,0,0.666667,0.833333,1,0,1,0.8,1,1,0.833333,0.5,1]
precision
0.870018 [1,0.5,1,0.909091,1,0.5,0.928571,1,1,1,0.897436,0.75,0.666667,1,1,0.5,1,1,1,0.647059,1,1,0.714286,0,1]
precision
0.879266 [1,1,1,0.909091,1,1,0.878788,1,0.333333,1,0.921053,1,0.75,1,1,0.8,1,0,1,0.692308,0.916667,1,0.8,0.333333,1]
precision
0.852384 [1,0,1,1,0.666667,1,0.909091,1,1,1,0.837209,1,0.5,0,1,0.8,1,0,1,0.714286,1,0.666667,1,0.333333,1]
precision
0.877695 [0.666667,1,1,0.9,1,1,0.970588,1,1,1,0.878049,0,0.571429,1,0.666667,0.75,1,0,1,1,1,0.666667,0.833333,0,0.5]
precision
0.85047 [1,1,1,1,0.75,1,0.903226,1,0,0.75,0.825,1,1,0,1,0.571429,1,0,1,0.722222,1,1,1,1,0]
precision
0.846637 [1,0,1,0.909091,1,1,0.965517,1,0.666667,1,0.820513,1,0.6,0,1,0.333333,0.666667,1,1,0.631579,0.846154,0.5,1,1,1]
predictive_accuracy
0.861446
predictive_accuracy
0.86747
predictive_accuracy
0.855422
predictive_accuracy
0.891566
predictive_accuracy
0.873494
predictive_accuracy
0.837349
predictive_accuracy
0.909639
predictive_accuracy
0.831325
predictive_accuracy
0.843373
predictive_accuracy
0.89759
predictive_accuracy
0.879518
predictive_accuracy
0.86747
predictive_accuracy
0.855422
predictive_accuracy
0.861446
predictive_accuracy
0.849398
predictive_accuracy
0.861446
predictive_accuracy
0.837349
predictive_accuracy
0.885542
predictive_accuracy
0.879518
predictive_accuracy
0.915663
predictive_accuracy
0.855422
predictive_accuracy
0.885542
predictive_accuracy
0.873494
predictive_accuracy
0.837349
predictive_accuracy
0.831325
predictive_accuracy
0.855422
predictive_accuracy
0.849398
predictive_accuracy
0.855422
predictive_accuracy
0.843373
predictive_accuracy
0.903614
predictive_accuracy
0.891566
predictive_accuracy
0.843373
predictive_accuracy
0.849398
predictive_accuracy
0.885542
predictive_accuracy
0.831325
predictive_accuracy
0.86747
predictive_accuracy
0.855422
predictive_accuracy
0.885542
predictive_accuracy
0.885542
predictive_accuracy
0.879518
predictive_accuracy
0.843373
predictive_accuracy
0.837349
predictive_accuracy
0.831325
predictive_accuracy
0.861446
predictive_accuracy
0.891566
predictive_accuracy
0.855422
predictive_accuracy
0.89759
predictive_accuracy
0.89759
predictive_accuracy
0.86747
predictive_accuracy
0.879518
predictive_accuracy
0.891566
predictive_accuracy
0.879518
predictive_accuracy
0.921687
predictive_accuracy
0.86747
predictive_accuracy
0.891566
predictive_accuracy
0.873494
predictive_accuracy
0.861446
predictive_accuracy
0.855422
predictive_accuracy
0.831325
predictive_accuracy
0.873494
predictive_accuracy
0.837349
predictive_accuracy
0.843373
predictive_accuracy
0.89759
predictive_accuracy
0.873494
predictive_accuracy
0.855422
predictive_accuracy
0.855422
predictive_accuracy
0.861446
predictive_accuracy
0.831325
predictive_accuracy
0.891566
predictive_accuracy
0.831325
predictive_accuracy
0.915152
predictive_accuracy
0.854545
predictive_accuracy
0.878788
predictive_accuracy
0.836364
predictive_accuracy
0.848485
predictive_accuracy
0.866667
predictive_accuracy
0.884848
predictive_accuracy
0.848485
predictive_accuracy
0.878788
predictive_accuracy
0.872727
predictive_accuracy
0.872727
predictive_accuracy
0.909091
predictive_accuracy
0.842424
predictive_accuracy
0.872727
predictive_accuracy
0.860606
predictive_accuracy
0.890909
predictive_accuracy
0.89697
predictive_accuracy
0.860606
predictive_accuracy
0.860606
predictive_accuracy
0.884848
predictive_accuracy
0.890909
predictive_accuracy
0.890909
predictive_accuracy
0.878788
predictive_accuracy
0.89697
predictive_accuracy
0.866667
predictive_accuracy
0.878788
predictive_accuracy
0.866667
predictive_accuracy
0.90303
predictive_accuracy
0.848485
predictive_accuracy
0.830303
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
recall
0.861446 [0.5,1,1,1,1,1,0.939394,1,0,1,0.918919,0.333333,0.5,1,0.5,0.8,1,0.5,1,0.769231,1,1,0.666667,0,1]
recall
0.86747 [1,1,1,1,1,0,0.939394,1,0.5,1,0.947368,0.666667,0.8,0,1,0.6,1,0.5,1,0.846154,1,0.5,0.5,0,0]
recall
0.855422 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.945946,0.666667,0.5,0,0.5,0.2,1,0,1,0.785714,1,1,0.666667,0,1]
recall
0.891566 [1,1,0.8,1,1,0.5,0.939394,1,0,1,0.972973,1,1,0,0.666667,0.8,1,0.5,1,0.785714,1,0.5,0.833333,0,1]
recall
0.873494 [1,1,1,1,1,1,0.848485,0.5,0.5,1,0.921053,0.333333,0.8,1,1,0.6,1,0.5,1,0.923077,1,1,0.666667,0,1]
recall
0.837349 [0.75,0.5,0.8,1,1,1,0.878788,1,0.5,1,0.891892,0.666667,0.75,0,0.666667,0.8,1,1,1,0.642857,0.909091,1,0.666667,0,1]
recall
0.909639 [0.666667,0.5,1,1,1,1,0.939394,1,1,1,0.972973,1,0.75,1,0.666667,0.8,1,0,0.75,0.785714,1,1,1,0,1]
recall
0.831325 [0.666667,1,1,1,1,0.5,0.909091,1,1,1,0.921053,0.666667,0.8,0,0.333333,0.8,0,0,1,0.615385,0.909091,1,0.5,0.5,1]
recall
0.843373 [0.666667,0,1,1,1,1,0.939394,1,0.5,1,0.921053,0.666667,0.75,0,1,0.4,1,0,1,0.615385,0.909091,1,0.833333,0.5,1]
recall
0.89759 [0.75,0.5,1,1,1,1,1,1,1,1,0.972973,1,0.25,0,1,0.8,1,0,1,0.857143,1,1,0.333333,0,1]
recall
0.879518 [1,0,1,1,1,1,0.939394,1,1,1,0.972973,0.333333,0.5,0.5,1,0.4,1,0.5,1,0.846154,1,1,0.5,0.5,1]
recall
0.86747 [0.666667,0.5,1,1,0.75,1,0.969697,1,0,1,0.918919,0.75,0.8,0.5,0.5,0.8,1,0.5,0.666667,0.846154,1,0.5,0.666667,0,1]
recall
0.855422 [1,0.5,0.8,1,1,0.5,0.939394,1,0,1,0.864865,0.666667,0.5,0,1,0.8,1,0.5,1,0.785714,1,1,0.833333,0,0]
recall
0.861446 [1,0.5,1,1,1,1,0.909091,0.5,1,1,0.945946,0.666667,0.25,1,0.333333,0.8,1,0,0.666667,0.785714,1,1,0.833333,0,1]
recall
0.849398 [1,0,1,1,1,0.5,0.909091,1,1,1,0.945946,1,0.6,0.5,0.333333,0.2,1,0,1,0.785714,1,0.5,1,0,0]
recall
0.861446 [1,1,0.8,1,1,0.5,0.939394,1,1,1,0.918919,0.666667,1,0,0.666667,0.2,0,0,1,0.857143,1,0.5,0.833333,0,1]
recall
0.837349 [1,0.5,1,1,1,1,0.848485,1,0.5,1,0.864865,0.666667,1,1,0.333333,0.8,1,1,1,0.769231,0.818182,0.5,0.5,0,1]
recall
0.885542 [1,0,0.75,1,1,1,0.909091,1,0,1,0.918919,1,1,0.5,1,0.8,1,1,1,0.846154,1,1,0.666667,0,1]
recall
0.879518 [1,1,1,0.8,1,1,0.909091,1,1,1,0.891892,0.666667,1,0,0.5,0.6,1,0.5,1,1,0.909091,1,0.833333,0,1]
recall
0.915663 [1,0.5,1,1,1,1,0.969697,1,0.5,1,0.972973,0.666667,1,1,0.666667,1,1,1,1,0.714286,1,1,0.666667,0,1]
recall
0.855422 [0.666667,0.5,1,1,1,1,0.939394,1,0.5,1,0.918919,0.666667,0.75,0,0.5,0.4,1,0.5,0.666667,0.846154,0.909091,0.5,0.666667,1,1]
recall
0.885542 [1,0.5,1,0.9,1,1,0.818182,1,0.5,1,0.972973,1,1,1,1,0.8,1,0.5,1,0.857143,0.909091,1,0.5,0,1]
recall
0.873494 [1,0.5,0.8,1,1,1,0.969697,1,1,1,0.945946,1,0.75,0,0.666667,0.8,1,0.5,1,0.714286,0.909091,1,0.5,0,1]
recall
0.837349 [1,0.5,1,0.8,1,0,0.848485,1,1,1,0.864865,0.333333,0.75,0,0.666667,0.4,1,0,1,0.928571,1,1,1,0,1]
recall
0.831325 [0.666667,0.5,1,1,1,1,0.818182,1,0,1,0.918919,1,0,0.5,1,0.4,1,1,1,0.785714,1,0.5,0.833333,0,1]
recall
0.855422 [0.666667,0.5,0.8,1,1,1,0.969697,1,0.5,1,0.945946,0.666667,0.4,0,0.666667,1,1,0,0.666667,0.857143,1,1,0.333333,0,1]
recall
0.849398 [1,0,1,1,1,1,0.818182,1,0.5,1,0.972973,0.25,0.75,1,1,0.6,1,0.5,1,0.769231,0.909091,1,0.666667,0,1]
recall
0.855422 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.891892,1,0.75,0,0.666667,0.2,1,1,1,0.846154,1,1,0.5,0,1]
recall
0.843373 [1,1,0.6,1,1,1,0.878788,1,0,1,0.945946,0.75,0.4,0.5,1,0.6,1,1,1,0.785714,0.909091,1,0.5,0,1]
recall
0.903614 [1,0.5,0.8,1,1,1,0.909091,1,0.5,1,0.972973,0.666667,0.8,1,1,0.8,1,0.5,1,0.928571,1,0.5,0.833333,0,1]
recall
0.891566 [1,1,0.6,1,1,1,0.939394,1,0.5,1,0.945946,0.666667,1,0.5,0.333333,0.6,1,0,1,0.928571,1,1,1,0,1]
recall
0.843373 [1,0.5,1,0.777778,1,1,0.969697,1,0.5,1,0.891892,0.666667,0.5,0,0.333333,0.8,1,0,0.75,0.785714,1,1,0.666667,0,1]
recall
0.849398 [1,1,0.8,1,1,1,0.969697,1,0,1,0.918919,0.666667,0.75,0.5,0.333333,0.2,1,1,1,0.714286,1,1,0.5,0,1]
recall
0.885542 [1,0,1,1,1,1,0.909091,1,0.5,1,0.972973,1,0.75,1,1,0.6,1,1,1,0.714286,0.909091,1,0.666667,0,1]
recall
0.831325 [1,1,0.5,1,1,0.5,0.909091,1,0.5,1,0.783784,0.666667,1,0.5,1,0.6,1,0,1,0.785714,0.909091,1,0.833333,0,1]
recall
0.86747 [1,0.5,1,0.9,1,1,0.909091,1,0.5,1,0.945946,0.666667,1,0,1,0.6,1,0.5,0.5,0.785714,1,0.5,0.833333,0,1]
recall
0.855422 [1,0.5,0.6,0.9,1,1,0.909091,1,1,1,0.945946,1,1,0,0.666667,0.4,1,0,1,0.538462,1,1,1,0,1]
recall
0.885542 [1,0.5,1,0.8,1,1,0.969697,1,1,1,0.945946,1,0.25,0.5,1,0.8,1,0.5,1,0.785714,1,1,0.5,0,1]
recall
0.885542 [1,1,1,1,1,1,1,1,1,1,0.945946,0.333333,0.8,0.5,0.333333,0.8,1,1,1,0.642857,1,0,0.666667,0,1]
recall
0.879518 [1,1,1,1,1,1,0.939394,1,0.5,1,0.918919,0.333333,0.8,1,0.5,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1]
recall
0.843373 [1,0.5,0.75,1,1,0.5,0.969697,1,1,1,0.918919,1,0.5,0,0.666667,0.6,1,0.5,1,0.5,1,1,0.833333,0,0]
recall
0.837349 [0.666667,0.5,0.8,1,1,1,0.939394,1,0,1,0.891892,0.333333,0.5,0,1,0.4,1,0.5,1,0.857143,1,1,0.5,0,1]
recall
0.831325 [0.666667,0,1,0.9,1,1,0.878788,1,0,1,0.864865,1,0.5,0.5,1,0.8,1,0.5,1,0.692308,0.909091,0.5,0.833333,0,1]
recall
0.861446 [1,0.5,1,1,1,1,0.848485,1,0,1,0.918919,0.666667,0.75,1,0.333333,0.8,1,1,1,0.714286,0.909091,1,0.833333,0,1]
recall
0.891566 [1,0,1,1,1,0.5,0.939394,1,1,1,0.945946,1,0.75,0,1,0.8,1,1,0.75,0.785714,1,1,0.833333,0,1]
recall
0.855422 [1,0.5,0.8,1,1,1,0.909091,1,0,1,1,0.666667,0.5,1,1,0.8,1,0,1,0.428571,1,1,0.833333,0,1]
recall
0.89759 [0.333333,1,1,1,1,1,0.939394,1,0,1,1,0.666667,0.6,0,0.666667,0.6,1,0.5,0.666667,1,1,0.5,0.833333,0,1]
recall
0.89759 [1,0.5,0.8,1,1,1,0.909091,1,0.5,1,0.972973,0.666667,0.75,1,0.666667,0.6,1,0.5,1,0.857143,1,1,1,0,1]
recall
0.86747 [1,0,0.8,0.9,1,0.5,0.909091,1,0.5,1,0.972973,0.666667,0.75,0,1,0.6,1,1,0.333333,0.785714,0.909091,1,1,0,1]
recall
0.879518 [1,1,1,0.9,1,0.5,0.939394,1,1,1,0.918919,0.666667,1,0,1,0.4,1,0.5,1,0.928571,0.8,1,0.833333,0,1]
recall
0.891566 [1,0.5,1,1,1,1,0.848485,1,1,1,0.945946,1,0.75,1,1,0.6,1,0.5,1,0.857143,0.9,1,0.833333,0,1]
recall
0.879518 [1,1,0.8,1,1,1,0.848485,1,1,1,0.945946,1,0.75,0,0.666667,0.6,1,0.5,1,0.928571,1,1,0.5,0,1]
recall
0.921687 [1,0.5,1,1,1,1,0.969697,1,1,1,0.972973,0.666667,0.75,0.5,1,0.8,1,1,1,0.769231,0.909091,1,1,0,1]
recall
0.86747 [0.75,0.5,1,1,1,1,0.909091,1,0.5,1,0.918919,1,0.75,1,1,0.4,1,0,1,0.928571,1,0,0.666667,0,0]
recall
0.891566 [1,1,0.8,1,1,1,0.969697,1,0.5,1,0.972973,1,0.75,0,1,0.4,1,1,1,0.714286,0.9,1,0.666667,0.5,1]
recall
0.873494 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.918919,1,0.75,1,0.5,0.4,0.5,0,1,1,1,1,0.666667,0,1]
recall
0.861446 [1,1,0.8,1,1,1,0.939394,1,0.5,1,0.837838,0.333333,0.5,1,1,0,0.5,0,1,1,1,1,1,0.5,1]
recall
0.855422 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.891892,1,0.5,1,1,0.4,0,0.5,1,0.785714,0.9,0.5,0.833333,0.5,1]
recall
0.831325 [1,1,1,1,1,0.5,0.848485,0.5,1,1,0.918919,0.666667,0.25,0,0.666667,0.8,1,0,1,0.642857,1,1,0.666667,0,1]
recall
0.873494 [1,0.5,1,1,1,1,0.909091,1,0.5,1,1,1,0.75,0,0.5,0.4,1,0,0.666667,0.846154,0.9,1,0.833333,0,1]
recall
0.837349 [1,1,0.8,0.9,0.75,0.5,0.878788,1,0.5,1,0.918919,1,0.75,1,0.666667,0.4,1,0.5,1,0.785714,1,0.5,0.5,0,1]
recall
0.843373 [1,0,0.8,0.9,1,1,0.848485,1,0,1,0.918919,1,0.5,1,1,0.4,1,0.5,1,0.714286,1,1,1,0,1]
recall
0.89759 [1,0.5,1,0.9,1,0.5,0.969697,1,0.5,1,0.894737,0.75,1,0,0.666667,0.8,1,0,1,1,1,1,0.666667,1,1]
recall
0.873494 [0.666667,0.5,0.6,1,1,1,1,1,0.5,1,0.972973,0.5,0.75,0.5,1,0.8,1,1,1,0.571429,1,1,0.666667,0,1]
recall
0.855422 [1,0,1,0.9,1,1,0.818182,1,0,1,0.945946,0.333333,0.75,0,1,0.8,1,0,1,0.857143,1,1,1,0,1]
recall
0.855422 [1,1,1,0.9,1,1,0.818182,1,0.5,1,0.972973,0.666667,0.75,0.5,1,0,1,0.5,1,0.769231,1,1,0.666667,0.5,1]
recall
0.861446 [1,0.5,1,0.9,1,0,0.969697,1,0,1,0.945946,1,0.75,0.5,0.5,0.8,1,0.5,1,0.571429,1,1,0.666667,0.5,0]
recall
0.831325 [0.666667,0.5,1,1,1,1,0.727273,1,0.5,1,0.972973,0.75,0.75,1,0.333333,0.8,1,0,0.666667,0.928571,1,1,0.333333,0.5,0]
recall
0.891566 [0.666667,0,1,0.9,1,1,0.969697,1,0.5,1,0.972973,1,0.75,1,0.666667,0.6,1,0.5,1,0.785714,1,1,0.833333,0,1]
recall
0.831325 [1,0,0.75,1,1,0.5,0.909091,1,1,1,0.891892,1,0.5,0.5,0.333333,0.4,1,0,1,0.769231,1,0.5,0.833333,0,1]
recall
0.915152 [1,1,1,1,1,1,0.969697,1,0.5,1,0.947368,1,0.8,0,0.333333,0.6,0,1,1,0.928571,1,1,1,0,1]
recall
0.854545 [1,0.5,1,0.9,1,1,1,1,1,1,0.918919,0.666667,0.5,0,1,0.4,1,0,0.666667,0.642857,0.8,1,1,0,1]
recall
0.878788 [1,0.5,1,0.9,1,1,0.878788,1,0.5,1,0.945946,1,0.6,1,1,0.8,1,0,0.666667,0.785714,1,1,1,0,1]
recall
0.836364 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.945946,1,0.2,0,0.5,0.2,1,0,1,0.615385,0.9,1,0.833333,0.5,1]
recall
0.848485 [1,0.5,1,0.9,1,1,0.969697,1,1,1,0.891892,1,0.5,0,0.5,0.8,1,0,1,0.571429,0.9,1,0.666667,0,1]
recall
0.866667 [1,0.5,1,0.9,1,1,1,1,1,0.888889,0.783784,1,0.5,0.5,1,1,1,0.5,1,0.846154,0.909091,1,0.666667,0,1]
recall
0.884848 [1,1,0.8,1,1,1,0.909091,1,0,1,0.918919,1,0.5,1,1,0.8,1,0.5,1,0.785714,1,1,0.833333,0,1]
recall
0.848485 [1,0.5,1,0.9,1,0,0.939394,1,1,1,0.945946,1,0.5,0,0.5,0.4,1,0.5,1,0.5,1,1,0.833333,0,1]
recall
0.878788 [1,0.5,1,1,1,1,0.969697,1,0,1,0.945946,1,0.5,1,1,0.2,1,0.5,1,0.785714,1,1,0.5,0.5,1]
recall
0.872727 [1,0.5,1,1,1,1,0.969697,1,0,1,0.918919,1,0.5,0.5,0.333333,0.6,1,0,0.666667,0.846154,1,1,0.666667,1,1]
recall
0.872727 [0.666667,0.5,1,0.9,1,1,0.969697,1,0.5,1,0.918919,1,0.6,0,1,0.8,1,1,0.75,0.857143,0.909091,1,0.5,0,1]
recall
0.909091 [1,0,1,1,1,1,0.939394,1,0.5,1,0.972973,1,1,0.5,0.333333,0.8,1,1,1,0.785714,0.9,1,1,0.5,1]
recall
0.842424 [0.666667,0.5,0.8,1,1,1,0.848485,0.5,0.5,1,0.918919,1,0.8,1,1,0.4,1,0,0.666667,0.714286,1,1,0.833333,0.5,1]
recall
0.872727 [1,0.5,1,0.7,1,1,0.878788,1,1,1,0.918919,1,0.8,0,1,0.4,1,1,1,0.923077,1,1,0.833333,0,1]
recall
0.860606 [0.666667,0.5,0.8,1,1,1,1,1,0,1,0.972973,0.5,1,0,0.666667,0.4,1,0.5,0.666667,0.769231,1,1,0.5,0,1]
recall
0.890909 [0.666667,0,1,1,1,0,0.939394,1,0.5,1,0.972973,0.75,1,0.5,0.666667,0.8,1,1,1,0.857143,0.909091,1,0.833333,0.5,0]
recall
0.89697 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.891892,1,0.5,0,1,0.8,1,1,1,0.928571,1,1,0.833333,0,1]
recall
0.860606 [1,1,1,0.9,1,1,0.969697,1,0.5,1,0.810811,1,0.25,0,1,0.8,1,1,0.666667,0.857143,0.818182,1,0.833333,0,1]
recall
0.860606 [0.666667,0,1,1,1,1,0.939394,1,1,1,0.945946,0.666667,0.75,1,0.666667,0.6,1,0.5,1,0.642857,1,0.5,0.666667,0,1]
recall
0.884848 [1,1,0.8,0.9,1,1,0.909091,1,0,1,0.945946,0.666667,1,1,1,0.2,1,0.5,1,1,0.909091,1,0.833333,0.5,0]
recall
0.890909 [1,0.5,1,1,1,1,0.878788,1,0,1,0.972973,0.75,1,1,1,1,1,0,0.75,0.785714,1,1,0.833333,0,1]
recall
0.890909 [1,0.5,1,1,1,1,0.939394,1,1,1,0.918919,0.666667,0.75,1,0.666667,0.8,1,0.5,1,0.769231,1,1,0.666667,0,1]
recall
0.878788 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.972973,0.333333,1,1,1,0.6,1,0.5,1,0.785714,1,1,0.333333,0,1]
recall
0.89697 [1,1,1,1,1,0.5,0.939394,1,0.5,1,0.921053,0.666667,0.75,0,0.666667,1,1,0,1,0.923077,0.9,1,0.833333,0.5,1]
recall
0.866667 [1,1,0.8,1,1,1,0.787879,1,1,1,0.945946,1,0.5,1,1,0.4,1,0.5,1,0.846154,0.909091,1,0.833333,0,1]
recall
0.878788 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.945946,1,0.75,1,0.666667,0.8,1,0,1,0.642857,1,1,0.666667,0.5,1]
recall
0.866667 [0.333333,0,1,1,1,1,0.909091,1,1,1,0.972973,1,0.5,0,0.666667,0.8,1,0,0.75,0.714286,1,1,0.833333,0.5,1]
recall
0.90303 [0.666667,0.5,0.8,1,1,1,1,1,0.5,1,0.972973,0,1,1,1,0.6,1,0,0.666667,1,1,1,0.833333,0,1]
recall
0.848485 [1,1,1,0.9,0.75,0.5,0.848485,1,0,1,0.891892,1,0.75,0,0.666667,0.8,1,0,0.666667,1,1,1,0.666667,0.5,0]
recall
0.830303 [0.666667,0,0.8,1,1,1,0.848485,1,1,1,0.864865,0.666667,0.75,0,0.666667,0.4,1,0.5,0.666667,0.857143,1,1,0.666667,0.5,1]
relative_absolute_error
0.186827
relative_absolute_error
0.17106
relative_absolute_error
0.202267
relative_absolute_error
0.15865
relative_absolute_error
0.156616
relative_absolute_error
0.186921
relative_absolute_error
0.1437
relative_absolute_error
0.200981
relative_absolute_error
0.198637
relative_absolute_error
0.140383
relative_absolute_error
0.159496
relative_absolute_error
0.172735
relative_absolute_error
0.184104
relative_absolute_error
0.180689
relative_absolute_error
0.184935
relative_absolute_error
0.169307
relative_absolute_error
0.203657
relative_absolute_error
0.147572
relative_absolute_error
0.16728
relative_absolute_error
0.125096
relative_absolute_error
0.182976
relative_absolute_error
0.147154
relative_absolute_error
0.165601
relative_absolute_error
0.205065
relative_absolute_error
0.205504
relative_absolute_error
0.179517
relative_absolute_error
0.186587
relative_absolute_error
0.183155
relative_absolute_error
0.190461
relative_absolute_error
0.166186
relative_absolute_error
0.143326
relative_absolute_error
0.203404
relative_absolute_error
0.190094
relative_absolute_error
0.156903
relative_absolute_error
0.213616
relative_absolute_error
0.175816
relative_absolute_error
0.188922
relative_absolute_error
0.160281
relative_absolute_error
0.162887
relative_absolute_error
0.166765
relative_absolute_error
0.207711
relative_absolute_error
0.20242
relative_absolute_error
0.197074
relative_absolute_error
0.190036
relative_absolute_error
0.15962
relative_absolute_error
0.171948
relative_absolute_error
0.154021
relative_absolute_error
0.142536
relative_absolute_error
0.162937
relative_absolute_error
0.15737
relative_absolute_error
0.153754
relative_absolute_error
0.147751
relative_absolute_error
0.134539
relative_absolute_error
0.170889
relative_absolute_error
0.138648
relative_absolute_error
0.16479
relative_absolute_error
0.183846
relative_absolute_error
0.179449
relative_absolute_error
0.209711
relative_absolute_error
0.165212
relative_absolute_error
0.201947
relative_absolute_error
0.2044
relative_absolute_error
0.155953
relative_absolute_error
0.164775
relative_absolute_error
0.179366
relative_absolute_error
0.184318
relative_absolute_error
0.182903
relative_absolute_error
0.205043
relative_absolute_error
0.149461
relative_absolute_error
0.185839
relative_absolute_error
0.138865
relative_absolute_error
0.198337
relative_absolute_error
0.158846
relative_absolute_error
0.189828
relative_absolute_error
0.184487
relative_absolute_error
0.18769
relative_absolute_error
0.148187
relative_absolute_error
0.178005
relative_absolute_error
0.16634
relative_absolute_error
0.183304
relative_absolute_error
0.15512
relative_absolute_error
0.134534
relative_absolute_error
0.195558
relative_absolute_error
0.160683
relative_absolute_error
0.175677
relative_absolute_error
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
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usercpu_time_millis_testing
0
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
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usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
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